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R for Data Science

You're reading from   R for Data Science Learn and explore the fundamentals of data science with R

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781784390860
Length 364 pages
Edition 1st Edition
Languages
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Author (1):
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 Toomey Toomey
Author Profile Icon Toomey
Toomey
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Toc

Table of Contents (19) Chapters Close

R for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Mining Patterns 2. Data Mining Sequences FREE CHAPTER 3. Text Mining 4. Data Analysis – Regression Analysis 5. Data Analysis – Correlation 6. Data Analysis – Clustering 7. Data Visualization – R Graphics 8. Data Visualization – Plotting 9. Data Visualization – 3D 10. Machine Learning in Action 11. Predicting Events with Machine Learning 12. Supervised and Unsupervised Learning Index

Index

A

  • abline function / Regression line
  • abline function, parameters
    • a / Regression line
    • b / Regression line
    • untf / Regression line
    • h / Regression line
    • v / Regression line
    • coef / Regression line
    • reg / Regression line
  • acf function
    • used, for creating correlogram / Correlogram
  • acf function, parameters
    • x / Correlogram
    • lag.max / Correlogram
    • type / Correlogram
    • plot / Correlogram
    • na.action / Correlogram
    • demean / Correlogram
  • AdaBoost / AdaBoost
  • ada package / Packages, AdaBoost
  • affinity propagation clustering
    • about / Affinity propagation clustering
  • airport data, Washington University survey
    • URL / Bivariate binning display
  • anomaly detection
    • about / Anomaly detection
    • outliers, displaying / Show outliers
    • anomalies, calculating / Calculating anomalies
    • usage / Usage
    • example / Example 1, Example 2
  • apcluster function
    • about / Affinity propagation clustering
  • apcluster package
    • about / Packages
  • apriori
    • about / Apriori
    • usage / Usage
    • example / Evaluating associations in a shopping basket
  • apriori rules library
    • data parameter / Usage
    • parameter / Usage
    • appearance parameter / Usage
    • control parameter / Usage
  • ARIMA
    • about / ARIMA
    • using / ARIMA
    • used, for automated forecasting / Automated ARIMA forecasting
  • arima function, parameters
    • x / ARIMA
    • order / ARIMA
    • seasonal / ARIMA
    • … / ARIMA
  • arulesNBMiner
    • about / arulesNBMiner
    • usage / Usage
    • example / Mining the Agrawal data for frequent sets
  • association rules
    • about / Association rules
    • support / Association rules
    • confidence / Association rules
    • lift / Association rules
    • apriori rules library, using / Mine for associations
    • usage / Usage
    • example / Example
  • automatic forecasting packages
    • about / Automatic forecasting packages
    • forecast / Automatic forecasting packages
    • TTR / Automatic forecasting packages
  • Auto MPG dataset
    • URL / Multivariate regression analysis

B

  • bar3d function
    • about / vrmlgenbar3D
  • bar3d function, parameters
    • data / vrmlgenbar3D
    • row.labels, col.labels / vrmlgenbar3D
    • filename / vrmlgenbar3D
    • type / vrmlgenbar3D
  • bar chart
    • producing / Bar chart
    • producing, qplot function used / ggplot2
  • bar charts
    • about / Bar charts and plots
  • bar plot
    • about / Bar plot
  • barplot function
    • about / Bar plot
    • usage / Usage
  • barplot function, parameters
    • height / Usage
    • width / Usage
    • space / Usage
    • names.arg / Usage
    • legend.text / Usage
  • Bayesian information
    • cluster, selecting based on / Selecting clusters based on Bayesian information
  • Bayesian learning
    • about / Bayesian learning
  • big.matrix function, parameters
    • nrow, ncol / bigmemory
    • type / bigmemory
    • init / bigmemory
    • dimnames / bigmemory
    • separated / bigmemory
    • backingfile / bigmemory
    • backingpath / bigmemory
    • descriptorfile / bigmemory
    • binarydescriptor / bigmemory
    • shared / bigmemory
  • Big Data, R
    • concerns / Big Data
    • pbdR project / pbdR
    • bigmemory package / bigmemory
  • bigmemory package
    • about / bigmemory
  • bioconductor.org / bioconductor
  • bivariate binning display / Bivariate binning display
  • blind signal separation / Blind signal separation
  • Box.test function, parameters
    • x / Box test
    • lag / Box test
    • type / Box test
    • fitdf / Box test
  • boxplot function
    • about / Show outliers, Example
  • Box test
    • using / Box test
  • build phase, K-medoids clustering
    • about / K-medoids clustering
  • bw function
    • x parameter / Usage
    • nb parameter / Usage
    • lower, upper parameter / Usage
    • method parameter / Usage
    • tol parameter / Usage

C

  • calinski criterion graph
    • about / The cascadeKM function
  • caret package / Packages
    • about / Data partitioning, Packages
  • car package
    • about / Packages, Packages
  • cascadeKM function
    • about / The cascadeKM function
  • cascadeKM function, parameters
    • data / The cascadeKM function
    • inf.gr / The cascadeKM function
    • sup.gr / The cascadeKM function
    • iter / The cascadeKM function
    • criterion / The cascadeKM function
  • chart.Correlation function, parameters
    • R / Visualizing correlations
    • histogram / Visualizing correlations
    • method / Visualizing correlations
  • chemometrics
    • about / Multivariate regression analysis
    • problems / Multivariate regression analysis
  • chemometrics package
    • about / Packages
  • classIn package / Packages
  • class package / Packages
  • cloud3d function
    • about / cloud3d
    • parameters / cloud3d
  • cloud function
    • about / Lattice Cloud – 3D scatterplot
    • used, for producing 3D scatterplot / Lattice Cloud – 3D scatterplot
  • clue package / Packages
  • clusGap function
    • about / Gap statistic to estimate the number of clusters
  • clusGap function, parameters
    • x / Gap statistic to estimate the number of clusters
    • FUNcluster / Gap statistic to estimate the number of clusters
    • K.max / Gap statistic to estimate the number of clusters
    • B / Gap statistic to estimate the number of clusters
    • verbose / Gap statistic to estimate the number of clusters
  • cluster
    • selecting, based on Bayesian information / Selecting clusters based on Bayesian information
  • cluster analysis
    • K-means clustering / K-means clustering
    • K-medoids clustering / K-medoids clustering
    • hierarchical clustering / Hierarchical clustering
    • expectation maximization (EM) / Expectation-maximization
    • density estimation / Density estimation
    • about / Cluster analysis
  • cluster analysis, model
    • connectivity / Cluster analysis
    • partitioning / Cluster analysis
    • distribution models / Cluster analysis
    • density / Cluster analysis
  • connectivity model
    • about / Cluster analysis
  • copula package
    • about / Packages
  • cor.test function, parameters
    • x / Covariance
    • y / Covariance
    • alternative / Covariance
    • method / Covariance
    • exact / Covariance
    • continuity / Covariance
  • cor function
    • used, for performing correlation / Correlation
  • cor function, parameters
    • x / Correlation
    • y / Correlation
    • use / Correlation
    • method / Correlation
  • corpus
    • about / Example
    • creating / Creating a corpus
    • text, converting to lower case / Converting text to lowercase
    • punctuation, removing / Removing punctuation
    • numbers, removing / Removing numbers
    • words, removing / Removing words
    • whitespaces, removing / Removing whitespaces
    • word stems / Word stems
    • document term matrix / Document term matrix
    • VectorSource, using / Using VectorSource
  • correlation
    • about / Correlation
    • performing, cor function used / Correlation
    • example / Example
  • correlation functionality
    • packages / Packages
  • correlations
    • visualizing, corrgram() function used / Visualizing correlations
  • correlogram
    • creating, acf function used / Correlogram
  • corrgram() function
    • used, for visualizing correlations / Visualizing correlations
  • corrgram tool
    • about / Packages
  • Cortona
    • about / cloud3d
  • covariance
    • measuring, cov function used / Covariance
  • cov function
    • used, for measuring covariance / Covariance
  • cpairs function
    • used, for plotting matrix data / cpairs – plot matrix data
  • createDataPartition function / Instance-based learning

D

  • 3D graphics
    • generating / Generating 3D graphics
  • 3D plotting functionality
    • packages / Packages
  • 3D scatterplot
    • producing, cloud function used / Lattice Cloud – 3D scatterplot
  • data
    • patterns, determining / Patterns
  • data partitioning
    • about / Data partitioning
  • dataset
    • about / Dataset
  • DBSCAN function
    • about / Density estimation
  • decision tree
    • about / Decision tree
  • decision trees / Decision trees
  • decompose function
    • about / The decompose function
  • density estimation
    • about / Density estimation, Density estimation
    • Parzen windows / Density estimation
    • vector quantization / Density estimation
    • histograms / Density estimation
    • usage / Usage
    • example / Example
  • density function
    • about / Usage
    • x parameter / Usage
    • bw parameter / Usage
    • adjust parameter / Usage
    • kernel parameter / Usage
    • weights parameter / Usage
    • window parameter / Usage
    • width parameter / Usage
    • give.Rkern parameter / Usage
    • N parameter / Usage
    • from, to parameter / Usage
    • na.rm parameter / Usage
  • density model
    • about / Cluster analysis
  • density scatter plots
    • about / Density scatter plots
  • distribution models
    • about / Cluster analysis
  • DMwR package
    • about / Example 2
  • document term matrix
    • about / Document term matrix

E

  • e1071 package / Packages
    • about / Packages
  • ECControl, parameter
    • sort / Usage
    • verbose / Usage
  • Eclat
    • about / Eclat
    • usage / Usage
    • used, for finding similarities in adult behavior / Using eclat to find similarities in adult behavior
    • frequent items, finding in dataset / Finding frequent items in a dataset
    • example / An example focusing on highest frequency
  • eclat function, parameters
    • data / Usage
    • parameter / Usage
    • control / Usage
  • ECParameters
    • support / Usage
    • minlen / Usage
    • target / Usage
  • elbow / Optimal number of clusters
  • ensemble learning / Ensemble learning
  • ets function
    • using / Automated forecasting
  • ets function, parameters
    • y / Automated forecasting
    • model / Automated forecasting
    • damped / Automated forecasting
    • beta / Automated forecasting
    • alpha / Automated forecasting
    • phi / Automated forecasting
    • gamma / Automated forecasting
    • … / Automated forecasting
  • expectation-maximization (EM) / Expectation-maximization
  • expectation maximization (EM)
    • about / Expectation-maximization
    • usage / Usage
    • example / Example
  • exponential smoothing
    • using / Exponential smoothing

F

  • facet_grid function / The ggplot2 package
  • FactoMineR package
    • about / Packages
  • findAssocs function
    • about / Using VectorSource
  • forecast package
    • about / Automatic forecasting packages, Forecast
    • correlogram / Correlogram
    • Box test, using / Box test
  • fpc package
    • about / Packages, Medoids clusters

G

  • gap statistic
    • used, for estimating cluster count / Gap statistic to estimate the number of clusters
  • gbd2dmat function, parameters
    • x / Distribute a matrix across nodes
    • skip.balance / Distribute a matrix across nodes
    • comm / Distribute a matrix across nodes
    • gbd.major / Distribute a matrix across nodes
    • bldim / Distribute a matrix across nodes
  • gclus package
    • about / Packages
  • getElem function
    • about / Using VectorSource
  • GetMap.bbox function, parameters
    • lonR / RgoogleMaps
    • latR / RgoogleMaps
    • center / RgoogleMaps
    • size / RgoogleMaps
    • destfile / RgoogleMaps
    • MINIMUMSIZE / RgoogleMaps
    • RETURNIMAGE / RgoogleMaps
    • GRAYSCALE / RgoogleMaps
    • NEWMAP / RgoogleMaps
    • zoom / RgoogleMaps
    • verbose / RgoogleMaps
    • SCALE / RgoogleMaps
    • maptype / RgoogleMaps
  • ggm function / Packages
  • ggplot2 package / Packages, ggplot2
    • about / The ggplot2 package, Packages
    • used, for producing scatter plots / The ggplot2 package
  • ggplot package
    • used, for producing histogram / The ggplot2 package
  • glucs package / cpairs – plot matrix data
  • Google Maps
    • about / Google Maps
  • gpclib package / Packages
  • GTK+ toolkit
    • invoking, playwith function used / Interactive graphics

H

  • hard clustering
    • about / Cluster analysis
  • hclust function
    • about / Usage
    • d parameter / Usage
    • method parameter / Usage
    • members parameter / Usage
  • heterogeneous correlation matrix
    • generating / A heterogeneous correlation matrix
  • hexbin function
    • about / Bivariate binning display
    • used, for organizing bivariate data / Bivariate binning display
  • hexbin function, parameters
    • x, y / Bivariate binning display
    • xbins / Bivariate binning display
    • shape / Bivariate binning display
    • xbnds, ybnds / Bivariate binning display
    • xlab, ylab / Bivariate binning display
  • hexbin package / Packages, Density scatter plots
  • hidden Markov models (HMM) / Hidden Markov models
  • hierarchical clustering
    • about / Hierarchical clustering, Hierarchical clustering
    • agglomerative (or bottom up) / Hierarchical clustering
    • divisive (or top down) / Hierarchical clustering
    • usage / Usage
    • example / Example
  • histograms
    • about / Density estimation
  • Hmisc
    • about / Packages
  • Holt exponential smoothing
    • about / Holt exponential smoothing
    • ets function, using / Automated forecasting
    • ARIMA / ARIMA
  • HoltWinters function, parameters
    • x / Exponential smoothing
    • alpha / Exponential smoothing
    • beta / Exponential smoothing
    • gamma / Exponential smoothing
    • seasonal / Exponential smoothing
    • … / Exponential smoothing

I

  • identify function
    • about / Show outliers
  • initial terrain map
    • creating / Google Maps
  • instance-based learning
    • about / Instance-based learning
  • interactive graphics
    • about / Interactive graphics

K

  • k-means clustering / K-means clustering
  • K-means clustering
    • about / K-means clustering, K-means clustering
    • usage / Usage
    • example / Example, Example
    • optimal number, of clusters / Optimal number of clusters
  • K-medoids clustering
    • about / K-medoids clustering
    • build phase / K-medoids clustering
    • swap phase / K-medoids clustering
    • usage / Usage
    • example / Example
  • k-nearest neighbor classification
    • about / The k-nearest neighbor classification
  • kernlab package / Packages
    • about / Packages
  • kknn function / Instance-based learning
  • kknn package
    • about / Packages
  • kmeans function
    • about / Usage
    • x parameter / Usage
    • centers parameter / Usage
    • iter.max parameter / Usage
    • nstart parameter / Usage
    • algorithm parameter / Usage
    • trace parameter / Usage
    / K-means clustering, Example, Cluster analysis
  • kmeans function, parameters
    • x / K-means clustering, Cluster analysis
    • centers / K-means clustering, Cluster analysis
    • iter.max / K-means clustering
    • nstart / K-means clustering
    • algorithm / K-means clustering
    • trace / K-means clustering
  • kmeans object
    • cluster property / Usage
    • centers property / Usage
    • totss property / Usage
    • withinss property / Usage
    • tot.withinss property / Usage
    • betweenss property / Usage
    • size property / Usage
    • iter property / Usage
    • ault property / Usage
  • knn function / Instance-based learning
  • knn function, parameters
    • train / Instance-based learning
    • test / Instance-based learning
    • cl / Instance-based learning
    • k / Instance-based learning
    • l / Instance-based learning
    • prob / Instance-based learning
    • use.all / Instance-based learning

L

  • lattice package
    • about / Packages, Packages
  • latticist package / Packages
    • about / The latticist package
  • leaf
    • about / Decision tree
  • least squares regression
    • about / Least squares regression
  • linear model / Linear model
  • line graph
    • generating / The ggplot2 package
  • lm function / Regression
  • lm function, parameter
    • formula / Regression
    • data / Regression
    • subset / Regression
    • weights / Regression
  • lofactor function
    • about / Example 2
  • logistic regression / Logistic regression
  • longest common prefix (LCP)
    • about / Similarities in the sequence
  • longest common subsequence (LCS)
    • about / Similarities in the sequence
  • lowess function / A lowess line
  • lowess function, parameters
    • x / A lowess line
    • y / A lowess line
    • f / A lowess line
    • iter / A lowess line
    • delta / A lowess line
  • lowess line
    • about / A lowess line

M

  • machine learning
    • packages / Packages
  • mapdata package / Packages
  • map function
    • about / Mapping
  • map function, parameters
    • database / Mapping
    • regions / Mapping
    • exact / Mapping
    • boundary / Mapping
    • interior / Mapping
    • projection / Mapping
    • parameters / Mapping
    • orientation / Mapping
    • fill / Mapping
    • col / Mapping
    • plot / Mapping
    • add / Mapping
    • namesonly / Mapping
    • xlim, ylim / Mapping
    • wrap / Mapping
    • resolution / Mapping
    • bg / Mapping
    • mar / Mapping
    • myborder / Mapping
  • mapping
    • about / Mapping
  • maps
    • points, plotting on / Plotting points on a map
  • maps package / Packages
    • about / Mapping
  • maptools package / Packages
  • MASS package
    • about / Packages, Packages
    / Packages
  • matrix data
    • displaying, splom function used / splom – display matrix data
    • plotting, cpairs function used / cpairs – plot matrix data
  • Mclust function
    • about / Usage
    • data parameter / Usage
    • G parameter / Usage
    • modelNames parameter / Usage
    • prior parameter / Usage
    • control parameter / Usage
    • initialization parameter / Usage
    • warn parameter / Usage
    • univariate mixture dataset / List of model names
    • multivariate mixture dataset / List of model names
    • single component dataset / List of model names
    / Selecting clusters based on Bayesian information
  • mclust package / Selecting clusters based on Bayesian information
  • MCMCpack package
    • about / Packages
  • MCMCregress function / Bayesian learning
  • MCMCregress function, parameters
    • formula / Bayesian learning
    • data / Bayesian learning
  • mcv / Neural network
  • medoids clusters
    • about / Medoids clusters
  • microbenchmark package
    • about / microbenchmark
  • models
    • about / Model
    • linear model / Linear model
    • prediction / Prediction
    • logistic regression / Logistic regression
    • residuals / Residuals
    • least squares regression / Least squares regression
    • stepwise regression / Stepwise regression
    • k-nearest neighbor classification / The k-nearest neighbor classification
    • Naïve Bayes / Naïve Bayes
  • Modern Applied Statistics in S+ (MASS)
    • about / Robust regression
  • monthplot function, parameters
    • x / Time series
    • labels / Time series
    • ylab / Time series
    • choice / Time series
  • multiple regression
    • about / Multiple regression
  • multivariate regression analysis
    • about / Multivariate regression analysis

N

  • Naïve Bayes
    • about / Naïve Bayes
  • NbClust function / Optimal number of clusters
  • NbClust function, parameters
    • data / Optimal number of clusters
    • diss / Optimal number of clusters
    • distance / Optimal number of clusters
    • min.nc / Optimal number of clusters
    • max.nc / Optimal number of clusters
    • method / Optimal number of clusters
    • index / Optimal number of clusters
    • alphaBeale / Optimal number of clusters
  • NbClust package
    • about / Packages
  • NBMiner function, parameter
    • data / Usage
    • parameter / Usage
    • control / Usage
  • NBMinerParameters, parameter
    • data / Usage
    • trim / Usage
    • pi / Usage
    • theta / Usage
    • minlen / Usage
    • maxlen / Usage
    • rules / Usage
    • plot / Usage
    • verbose / Usage
    • getdata / Usage
  • neuralnet function / Neural network, Neural network
  • neuralnet function, parameter
    • formula / Neural network
    • data / Neural network
    • hidden / Neural network
    • stepmax / Neural network
    • rep / Neural network
  • neuralnet package / Packages
  • neural network / Neural network
    • about / Neural network

O

  • online personality tests
    • URL / Polychoric correlation
  • OPTICS function
    • about / Density estimation
  • optimal matching (OM) distance
    • about / Similarities in the sequence
  • outliers, anomaly detection
    • displaying / Show outliers
    • example / Example, Example
    • anomaly detection example / Another anomaly detection example

P

  • packages
    • about / Packages
    • tm / Packages
    • XML / Packages
    • text processing / Text processing
    • text clusters / Text clusters
  • packages, 3D plotting functionality
    • car / Packages
    • copula / Packages
    • lattice / Packages
    • rgl / Packages
    • vrmlgen / Packages
    • Rcpp / Packages
    • swirl / Packages
  • packages, clustering functionality
    • NbClust / Packages
    • fpc / Packages
    • vegan / Packages
    • apcluster / Packages
    • pvclust / Packages
  • packages, correlation functionality
    • about / Packages
    • corrgram / Packages
    • Hmisc / Packages
    • polycor / Packages
    • ggm / Packages
  • packages, machine learning functionality
    • ada / Packages
    • caret / Packages
    • class / Packages
    • clue / Packages
    • e1071 / Packages
    • kernlab / Packages
    • MASS / Packages
    • neuralnet / Packages
    • randomForest / Packages
    • relaimpo / Packages
  • packages, plotting functionalities
    • car / Packages
    • lattice / Packages
    • gclus / Packages
    • MASS / Packages
    • ggplot2 / Packages
  • packages, regression analysis
    • about / Packages
    • simple regression / Simple regression
    • multiple regression / Multiple regression
    • multivariate regression / Multivariate regression analysis
    • robust regression / Robust regression
  • packages, supervised/unsupervised learning
    • rattle / Packages
    • rpart.plot / Packages
    • caret / Packages
    • kknn / Packages
    • kernlab / Packages
    • e1071 / Packages
    • MCMCpack / Packages
    • randomForest / Packages
    • FactoMineR / Packages
  • packages, visualization functionality
    • classIn / Packages
    • ggplot2 / Packages
    • gpclib / Packages
    • hexbin / Packages
    • latticist / Packages
    • mapdata / Packages
    • maps / Packages
    • maptools / Packages
    • playwith / Packages
    • RColorBrewer / Packages
    • RGoogleMaps / Packages
  • pairs function / Covariance
    • about / Scatterplot matrices
  • pam function
    • about / Usage
    • x parameter / Usage
    • k parameter / Usage
    • diss parameter / Usage
    • metric parameter / Usage
    • medoids parameter / Usage
    • stand parameter / Usage
    • cluster.only parameter / Usage
    • do.swap parameter / Usage
    • keep.diss parameter / Usage
    • keep.data parameter / Usage
    • trace.lev parameter / Usage
  • pamk function
    • about / Medoids clusters
  • pamk function, parameters
    • data / Medoids clusters
    • krange / Medoids clusters
    • criterion / Medoids clusters
    • usepam / Medoids clusters
    • scaling / Medoids clusters
    • alpha / Medoids clusters
    • diss / Medoids clusters
    • critout / Medoids clusters
    • ns / Medoids clusters
    • seed / Medoids clusters
  • parallel package
    • about / parallel
  • parameters, polychor function
    • x / Polychoric correlation
    • smooth / Polychoric correlation
    • global / Polychoric correlation
    • polycor / Polychoric correlation
    • ML / Polychoric correlation
    • std.err / Polychoric correlation
    • weight / Polychoric correlation
    • progress / Polychoric correlation
    • na.rm / Polychoric correlation
    • delete / Polychoric correlation
  • partial correlation
    • producing / Partial correlation
  • partitioning model
    • about / Cluster analysis
  • partitioning rules
    • strict / Cluster analysis
    • overlapping / Cluster analysis
    • hierarchical / Cluster analysis
  • Parzen windows
    • about / Density estimation
  • patterns
    • determining, in data / Patterns
    • Eclat / Eclat
    • arulesNBMiner / arulesNBMiner
    • apriori / Apriori
    • TraMineR / Determining sequences using TraMineR
    • similarities, determining in sequences / Similarities in the sequence
  • pbdR project
    • about / pbdR
    • common global values / Common global values
    • data, distributing across nodes / Distribute data across nodes
    • matrix across nodes, distributing / Distribute a matrix across nodes
  • pdbMPI package / pdbMPI
  • Pearson correlations
    • producing, rcorr function used / Pearson correlation
  • persp function
    • about / Generating 3D graphics
  • persp function, parameters
    • x, y / Generating 3D graphics
    • z / Generating 3D graphics
    • xlim, ylim, zlim / Generating 3D graphics
    • xlab, ylab, zlab / Generating 3D graphics
    • main, sub / Generating 3D graphics
    • theta, phi / Generating 3D graphics
    • r / Generating 3D graphics
    • d / Generating 3D graphics
    • scale / Generating 3D graphics
  • pipes
    • about / pipes
  • playwith function
    • used, for invoking GTK+ toolkit / Interactive graphics
    • about / Interactive graphics
  • playwith function, parameters
    • expr / Interactive graphics
    • title / Interactive graphics
    • labels / Interactive graphics
    • data.points / Interactive graphics
    • viewport / Interactive graphics
    • parameters / Interactive graphics
    • tools / Interactive graphics
    • init.actions / Interactive graphics
    • prepplot.actions / Interactive graphics
    • update.actions / Interactive graphics
    • width / Interactive graphics
    • height / Interactive graphics
    • pointsize / Interactive graphics
    • eval.args / Interactive graphics
    • on.close / Interactive graphics
    • modal / Interactive graphics
    • linkto / Interactive graphics
    • playstate / Interactive graphics
    • plot.call / Interactive graphics
    • main.function / Interactive graphics
  • playwith package / Packages
  • plot function
    • about / Scatter plots
  • plot function, parameters
    • x / Scatter plots
    • y / Scatter plots
    • type / Scatter plots
    • main / Scatter plots
    • sub / Scatter plots
    • xlab / Scatter plots
    • ylab / Scatter plots
    • asp / Scatter plots
  • points
    • plotting, on maps / Plotting points on a map
    • plotting, on world map / Plotting points on a world map
  • points function, parameters
    • x / Plotting points on a world map
    • pch / Plotting points on a world map
    • col / Plotting points on a world map
    • bg / Plotting points on a world map
    • cex / Plotting points on a world map
    • lwd / Plotting points on a world map
  • polychor function
    • about / Polychoric correlation
    • parameters / Polychoric correlation
  • polychoric correlation
    • about / Polychoric correlation
  • polycor function / Packages
  • polycor package
    • about / Polychoric correlation
  • pqR package / pqR
  • predict function / predict
  • prediction / Prediction
  • pvclust function
    • about / Hierarchical clustering
  • pvclust function, parameters
    • data / Hierarchical clustering
    • method.hclust / Hierarchical clustering
    • method.dist / Hierarchical clustering
    • use.cor / Hierarchical clustering
    • nboot / Hierarchical clustering
    • r / Hierarchical clustering
    • store / Hierarchical clustering
    • weight / Hierarchical clustering
  • pvclust package
    • about / Packages

Q

  • qplot function
    • about / ggplot2
    • used, for producing bar charts / ggplot2

R

  • randomForest function / Random forests
  • randomForest function, parameters
    • formula / Random forests
    • data / Random forests
    • subset / Random forests
    • na.action / Random forests
  • randomForest package / Packages
    • about / Packages
  • random forests / Random forests
    • about / Random forests
  • rattle package
    • about / Packages
  • RColorBrewer package / Packages
  • rcorr function
    • used, for producing Pearson correlation / Pearson correlation
  • rcorr function, parameters
    • x / Pearson correlation
    • y / Pearson correlation
    • type / Pearson correlation
  • Rcpp package
    • about / Packages, Rcpp
  • regression
    • about / Regression
  • regression line
    • adding, to scatter plot / Regression line
  • relaimpo package / Packages, Relative importance
  • relative importance, of variables
    • calculating / Relative importance
  • removeSparseTerms function
    • about / Using VectorSource
  • removeWords function
    • about / Using VectorSource
  • research areas, R
    • about / Research areas
    • Rcpp package / Rcpp
    • parallel package / parallel
    • microbenchmark package / microbenchmark
    • pqR package / pqR
    • SAP integration / SAP integration
    • roxygen2 package / roxygen2
    • bioconductor / bioconductor
    • swirl package / swirl
    • pipes / pipes
  • resid function
    • about / Residuals
  • residuals, models / Residuals
  • rgl package
    • about / Packages
  • RGoogleMaps package / Packages
    • about / Google Maps
  • RgoogleMaps package
    • about / RgoogleMaps
  • robust regression
    • about / Robust regression
  • roxygen2 package
    • about / roxygen2
  • rpart.plot package
    • about / Packages
  • rpart function / Decision tree
  • rpart function, parameters
    • formula / Decision tree
    • data / Decision tree
    • weights / Decision tree
    • subset / Decision tree
    • na.action / Decision tree
    • method / Decision tree
  • R Tools page
    • URL / Rcpp

S

  • scatter3d function
    • about / scatter3d
    • used, for generating 3D graphics / scatter3d
  • scatter plot
    • about / Scatter plots
    • example / Scatter plots
    • regression line, adding to / Regression line
    • lowess line / A lowess line
  • scatterplot3d function, parameters
    • x / scatterplot3d
    • y / scatterplot3d
    • z / scatterplot3d
    • color / scatterplot3d
  • scatterplot3d package
    • about / scatterplot3d
    • used, for generating 3D graphics / scatterplot3d
  • scatterplot function / scatterplot
  • scatterplot function, parameters
    • x / scatterplot
    • y / scatterplot
    • formula / scatterplot
    • data / scatterplot
    • subset / scatterplot
    • smoother / scatterplot
    • smoother.args / scatterplot
    • smooth / scatterplot
    • span / scatterplot
    • spread / scatterplot
    • reg.line / scatterplot
    • boxplots / scatterplot
    • xlab / scatterplot
    • ylab / scatterplot
    • las / scatterplot
    • lwd / scatterplot
    • lty / scatterplot
    • id.method / scatterplot
    • id.n / scatterplot
    • id.cex / scatterplot
    • id.col / scatterplot
    • labels / scatterplot
    • log / scatterplot
    • jitter / scatterplot
    • ylim, ylim / scatterplot
  • scatterplot matrices
    • about / Scatterplot matrices
    • splom function, used for displaying matrix data / splom – display matrix data
    • cpairs function, used for plotting matrix data / cpairs – plot matrix data
  • scatterplotMatrix() function
    • about / Example
  • scatter plots
    • producing, ggplot2 package used / The ggplot2 package
  • seqdef function, parameters
    • data / Usage
    • var / Usage
    • informat / Usage
    • stsep / Usage
    • alphabet / Usage
    • states / Usage
  • seqdist function
    • used, for determining similarities in sequences / Sequence metrics
    • example / Example
  • seqdist function, parameters
    • seqdata / Usage
    • method / Usage
    • refseq / Usage
    • norm / Usage
    • indl / Usage
    • sm / Usage
    • with.missing / Usage
    • full.matrix / Usage
  • seqST function
    • about / Determining sequences in training and careers
  • sequences
    • determining, TraMineR used / Determining sequences using TraMineR
    • similarities, determining / Similarities in the sequence
  • simple regression
    • about / Simple regression
  • SMA function
    • about / The SMA function
  • SMA function, parameters
    • x / The SMA function
    • n / The SMA function
    • … / The SMA function
  • snow package
    • about / snow
  • soft clustering
    • about / Cluster analysis
  • source
    • about / Using VectorSource
  • splom() function
    • about / Example
  • splom() function, parameters
    • x / Example
    • data / Example
  • splom function
    • used, for displaying matrix data / splom – display matrix data
  • SSE (sum of squared errors)
    • about / Exponential smoothing
  • stepNext function
    • about / Using VectorSource
  • stepwise regression
    • about / Stepwise regression
  • stl function, parameters
    • x / Time series
    • s.window / Time series
    • … / Time series
  • summary() command
    • about / Example
  • supervised learning
    • about / Supervised learning
  • supervised learning, techniques
    • decision tree / Decision tree
    • regression / Regression
    • neural network / Neural network
    • instance-based learning / Instance-based learning
    • ensemble learning / Ensemble learning
    • support vector machines (SVM) / Support vector machines
    • Bayesian learning / Bayesian learning
    • random forests / Random forests
  • Support Vector Machines (SVM) / Support vector machines
  • support vector machines (SVM) / Support vector machines
  • svm function / Support vector machines
  • svm function, parameters
    • formula / Support vector machines
    • data / Support vector machines
    • subset / Support vector machines
    • na.action / Support vector machines
    • scale / Support vector machines
  • swap phase, K-medoids clustering
    • about / K-medoids clustering
  • swirl package
    • about / Packages, swirl

T

  • tetrachoric correlation
    • about / Tetrachoric correlation
    • running / Tetrachoric correlation
  • tetrachoric function, parameters
    • x / Tetrachoric correlation
    • y / Tetrachoric correlation
    • correct / Tetrachoric correlation
    • smooth / Tetrachoric correlation
    • global / Tetrachoric correlation
    • weight / Tetrachoric correlation
    • na.rm / Tetrachoric correlation
    • delete / Tetrachoric correlation
  • text clusters
    • about / Text clusters
    • word graphics / Word graphics
    • XML text, analyzing / Analyzing the XML text
  • text operations
    • text, converting to lower case / Example
    • punctuation, removing / Example
    • numbers, removing / Example
    • URLs, removing / Example
    • stop words list, adjusting / Example
    • word stems, working with / Example
  • text processing
    • about / Text processing
    • example / Example
    • corpus, creating / Creating a corpus
  • text variable
    • about / Example
  • time series
    • about / Time series
  • Titanic survival information
    • URL / Tetrachoric correlation
  • tm package
    • about / Packages
  • tm_map function
    • about / Using VectorSource
  • train method
    • about / The train Method
  • train method, parameters
    • x / The train Method
    • y / The train Method
    • form / The train Method
    • data / The train Method
    • weights / The train Method
    • subset / The train Method
    • method / The train Method
  • TraMineR
    • used, for determining sequences / Determining sequences using TraMineR
    • usage / Usage
    • example / Determining sequences in training and careers
  • TraMineR, datasets
    • actcal / Determining sequences using TraMineR
    • biofam / Determining sequences using TraMineR
    • mvad / Determining sequences using TraMineR
  • ts function, parameters
    • data / Time series
    • start / Time series
    • end / Time series
    • frequency / Time series
    • deltat / Time series
    • ts.eps / Time series
    • class / Time series
    • names / Time series
  • TTR package
    • about / Automatic forecasting packages
    • SMA function / The SMA function
  • turbulence
    • about / Determining sequences in training and careers

U

  • unsupervised learning
    • about / Unsupervised learning
  • unsupervised learning, techniques
    • cluster analysis / Cluster analysis
    • density estimation / Density estimation
    • expectation-maximization (EM) / Expectation-maximization
    • hidden Markov models (HMM) / Hidden Markov models
    • blind signal separation / Blind signal separation

V

  • vector quantization
    • about / Density estimation
  • VectorSource
    • using / Using VectorSource
  • vegan package
    • about / Packages
  • VEV
    • about / Example
  • vrmlgenbar3D
    • about / vrmlgenbar3D
  • vrmlgen package
    • about / Packages

W

  • wine quality data, UCI Machine Learning Repository
    • URL / Example
  • word cloud
    • generating / Word graphics
    • about / Word cloud
  • word graphics
    • about / Word graphics
  • word stems
    • about / Word stems
  • world map
    • points, plotting on / Plotting points on a world map

X

  • XML package
    • about / Packages
  • XML text
    • analyzing / Analyzing the XML text
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